AI Engineer

We are seeking a Senior AI Engineer to join our innovative team in Luxembourg. In this role, you will lead the development and optimization of cutting-edge AI solutions, focusing on large language models (LLMs), retrieval-augmented generation (RAG) systems, and advanced ranking algorithms. Your expertise will drive the creation of scalable, efficient, and domain-specific AI applications that enhance our product offerings and user experiences.

Key Responsibilities

• Architect and fine-tune open-source LLMs (e.g., LLaMA, Mistral, Falcon) using techniques such as LoRA, QLoRA, and DPO for domain-specific tasks like CV parsing and automated job-description generation.

• Design small-parameter, generalist language models optimized for efficiency, adaptability, and deployment scalability across multiple product use cases.

• Build advanced matching and ranking systems using hybrid retrieval pipelines (e.g., Vespa) orchestrated in Python with LangGraph to generate Top-K candidate matches for job roles.

• Develop Learning-to-Rank (LTR) pipelines (e.g., XGBoost LambdaMART) for candidate re-ranking and relevance scoring.

• Implement retrieval-augmented generation (RAG) pipelines integrating vector search engines such as FAISS, Pinecone, ChromaDB, or Elasticsearch.

• Build and deploy scalable APIs using Python frameworks like FastAPI or Flask.

• Optimize model performance through techniques such as quantization, pruning, and distillation.

• Design and implement efficient ETL pipelines and data-preprocessing workflows in Python, integrating SQL/NoSQL data sources (PostgreSQL, Microsoft SQL Server).

• Leverage cloud and DevOps tools (e.g., AWS, Docker, GitHub Actions, MLflow) for reproducible and scalable deployments.

• Monitor and improve retrieval and ranking quality through feature engineering, embedding evaluation, and offline metrics analysis (NDCG, Recall@K, Precision@K).

  • Contribute to technical discussions, code reviews, and the continuous improvement of model-development workflows.